Data Scientist, Fraud Analytics & Technical Writing (3951) at GBG

Atlanta, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

0.0

Posted On

03 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Technical Writing, Python, R, SQL, Statistical Analysis, Data Visualization, Cloud Platforms, Fraud Detection, Machine Learning, Predictive Modeling, Collaboration, Business Acumen, Statistics, ROI Calculation, Dashboard Design

Industry

IT Services and IT Consulting

Description

Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role Data Scientist – Fraud Analytics & Technical Writing Join GBG’s Go‑to‑Market Data Science & Analytics team, a newly established, high‑impact function shaping how we demonstrate value to customers and empower internal teams with actionable insights. As a Data Scientist – Fraud Analytics & Technical Writing, you’ll analyze large, complex datasets to surface fraud patterns, translate findings into clear business narratives, and create high‑quality technical documentation that standardizes methods and accelerates adoption across the organization. You’ll partner cross‑functionally with Sales, Product, and Operations, design dashboards that communicate trends, and influence roadmap and strategy—while building scalable, automated processes that elevate decision‑making and customer outcomes What you will do Fraud Detection & Analysis Analyze large, complex datasets to detect patterns, anomalies, and emerging fraud trends Collaborate with internal teams to validate findings and refine detection strategies Translate key findings into clear, compelling insights that demonstrate solution value to prospective customers Support the development of standardized frameworks to quantify business impact across customer profiles Technical Documentation Create and maintain high-quality technical documentation, including methodologies, workflows, and system processes Translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences Ensure documentation is standardized, accurate, and easily accessible for internal teams Collaboration & Reporting Work closely with cross-functional teams to implement data-driven solutions Design dashboards and reports to communicate fraud trends and detection results effectively Provide regular updates and recommendations to stakeholders based on data-driven findings Skills we are looking for Technical Foundation 2+ years of hands-on experience in data analytics, with demonstrated success in customer-facing teams or process automation roles Excellent technical writing and communication skills Strong proficiency in Python/R, SQL, and statistical analysis libraries (pandas, scikit-learn, etc.) Experience with data visualization tools (Quicksight, Tableau, Power BI, or similar) Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data stack tools Master’s degree in Data Science or related field preferred; PhD a plus Preferred Qualifications Domain expertise in identity verification, fraud detection, and/or financial services Experience presenting technical findings to prospects or clients during sales processes Knowledge of predictive modeling and machine learning Business Acumen Experience analyzing customer data and translating technical findings into compelling business narratives Knowledge of statistics and ROI calculation frameworks Ability to create presentations that communicate value propositions to both technical and business stakeholders Familiarity with cross-functional collaboration processes To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to behired@gbgplc.com and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.

Responsibilities

Analyze large datasets to detect fraud patterns and create technical documentation. Collaborate with cross-functional teams to implement data-driven solutions and design dashboards for effective communication of trends.